DIAGNO-ASSIST is an AI-driven software system developed for the early detection and prediction of heart attacks. This study integrates artificial intelligence, machine learning, and deep learning technologies with health care to deliver precise predictions based on a variety of medical data, including vital signs and patient health history. The methodology applies sophisticated AI and ML algorithms to provide personalized risk assessments, enabling users to make informed decisions about their health. The findings indicate that DIAGNO-ASSIST can greatly enhance preventive care, with the potential to save lives and reduce healthcare costs. However, the study acknowledges limitations such as possible biases in training data and the necessity for validation across diverse populations. The research's key contributions include a pioneering, technology-based approach to preventive care with significant practical implications for global health. Future research should investigate broader medical applications and improved data integration.